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Meta AR/VR Job | Research Engineer, Digital Humans (University Grad)

Job(岗位): Research Engineer, Digital Humans (University Grad)

Type(岗位类型): Research

Citys(岗位城市): Sausalito, CA

Date(发布日期): 2022-2-2

Summary(岗位介绍)

Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.

The Virtual Humans team works on cutting-edge research and development focusing on virtual people and presence. We envision a world where people connect across vast distances, so our roles focus on capturing, evaluating and modeling the full human body shape and motion. We are currently seeking innovative Research Engineers with a passion for technology to develop the next generation of virtual humans. As a Research Engineer, you will foster our scientific explorations in areas like human shape, motion, and appearance capture, biophysical modeling, simulation and rendering. Together, let’s step into the adventure of a lifetime as we make science fiction real.

Qualifications(岗位要求)

Currently has, or is in the process of obtaining, a Master’s degree in the field of Computer Vision, Computer Graphics, Physics, Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

3+ years of experience programming with C++ and Python.

3+ years experience in creating 3D geometry processing, 3D reconstruction, registration, non-linear optimization, and machine-learning-based solutions.

3+ years experience in development of real-time systems, multi-threaded applications, performance benchmarking.

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Description(岗位职责)

Collaborate with diverse and interdisciplinary researchers, engineers, and designers to conceptualize, build, and test novel digital humans and avatars technologies.

Support the realization of research outcomes into code and experiences through reusable tools, extensible plug-ins, and clear readable code.

Learn constantly, dive into new areas with uncharted technologies, and embrace the ambiguity of inventing the future of digital humans.

Additional Requirements(额外要求)

Currently has, or is in the process of obtaining, a PhD in the field of Computer Vision, Computer Graphics, Physics, Machine Learning or related fields.

Experience with designing real-time systems in C++ and CUDA.

Experience with image processing, multiview systems, camera calibration, pose estimation, 3D shape deformation models, 3D reconstruction and registration, non-linear optimization, neural network training and deployment, distributed and cloud computing.

Experience with 3D packages such as Maya, Blender, Houdini, Unreal Engine, Unity.

Experience with digital double generation for high-end VFX and/or video game applications.

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, first-authored publications in peer-reviewed journals/conferences (CVPR, ICCV/ECCV, SIGGRAPH, etc.).

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Experience working and communicating cross functionally in a team environment.

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